Data Engineer Consultant
Description: • Guide clients on optimizing their data environment to work most effectively and efficiently for them. Clarify management objectives through data solutions. • Develop system engineering, integrations, and architectures based on client needs. • Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools. • Develop a data model around stated use cases to capture client’s KPIs and data transformations. Validation and testing of data models. • Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals. • Support, maintain, and document clients’ data environments. • Work within a project management framework to meet objectives, understand scope, and impact of your work across an organization. • Work with the Sales and Marketing teams to develop Thought Leadership and support our sellers by talking to clients about DAS42’s capabilities. Requirements: • Bachelor's or Master’s degree in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering). • 3 to 4 years of work experience in a data analytics or data engineering role. • A passion for exploring and solving different kinds of problems. • A desire to learn and assimilate technical information quickly. • Exposure to developer tools/workflow (e.g. git/github, SSH). Knowing how to get around a command line environment. • Project management (eg. Basecamp, JIRA, ASANA). • Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift). • Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI). • Experience with data warehousing and using Snowflake. • Experience optimizing database/query performance. • Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL. • Worked for a consulting/services organization (preferred). • Worked with or for Media & Entertainment or Telecom companies (preferred). Benefits: • Unlimited Vacation • Medical, Vision, and Dental Insurance • Paid Family and Medical Leave • Individual and Company Bonus Programs • Regular, In-person Company Events • Flexible Work Policy • Remote Work Stipend • 401(k) Matching • Learning and Development Programs Apply tot his job